Resolving Peto’s paradox: Modeling the potential effects of size‐related metabolic changes, and of the evolution of immune policing and cancer suppression

The intrinsic risk of cancer increases with body size and longevity; however, big long‐lived species do not exhibit this increase, a contradiction named Peto's paradox. Five hypotheses potentially resolving this paradox were modeled using the multistage model of carcinogenesis. The five hypothe...

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Published in:Evolutionary Applications
Main Author: Nunney, Leonard
Format: Text
Language:English
Published: John Wiley and Sons Inc. 2020
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428811/
https://doi.org/10.1111/eva.12993
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spelling ftpubmed:oai:pubmedcentral.nih.gov:7428811 2023-05-15T15:45:14+02:00 Resolving Peto’s paradox: Modeling the potential effects of size‐related metabolic changes, and of the evolution of immune policing and cancer suppression Nunney, Leonard 2020-06-04 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428811/ https://doi.org/10.1111/eva.12993 en eng John Wiley and Sons Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428811/ http://dx.doi.org/10.1111/eva.12993 © 2020 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. CC-BY Evol Appl Special Issue Original Articles Text 2020 ftpubmed https://doi.org/10.1111/eva.12993 2020-08-23T00:32:44Z The intrinsic risk of cancer increases with body size and longevity; however, big long‐lived species do not exhibit this increase, a contradiction named Peto's paradox. Five hypotheses potentially resolving this paradox were modeled using the multistage model of carcinogenesis. The five hypotheses were based on (1) intrinsic changes in metabolic rate with body size; adaptive increase in immune policing of (2) cancer cells or (3) cells with driver mutations; or adaptive increase in cancer suppression via (4) decreased somatic mutation rate, or (5) increased genetic control. Parameter changes needed to stabilize cancer risk in three types of cancer were estimated for tissues scaled from mouse size and longevity to human and blue whale levels. The metabolic rate hypothesis alone was rejected due to a conflict between the required interspecific effect with the observed intraspecific effect of size on cancer risk, but some metabolic change was optionally incorporated in the other models. Necessary parameter changes in immune policing and somatic mutation rate far exceeded values observed; however, natural selection increasing the genetic suppression of cancer was generally consistent with data. Such adaptive increases in genetic control of cancers in large and/or long‐lived animals raise the possibility that nonmodel animals will reveal novel anticancer mechanisms. Text Blue whale PubMed Central (PMC) Evolutionary Applications 13 7 1581 1592
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Special Issue Original Articles
spellingShingle Special Issue Original Articles
Nunney, Leonard
Resolving Peto’s paradox: Modeling the potential effects of size‐related metabolic changes, and of the evolution of immune policing and cancer suppression
topic_facet Special Issue Original Articles
description The intrinsic risk of cancer increases with body size and longevity; however, big long‐lived species do not exhibit this increase, a contradiction named Peto's paradox. Five hypotheses potentially resolving this paradox were modeled using the multistage model of carcinogenesis. The five hypotheses were based on (1) intrinsic changes in metabolic rate with body size; adaptive increase in immune policing of (2) cancer cells or (3) cells with driver mutations; or adaptive increase in cancer suppression via (4) decreased somatic mutation rate, or (5) increased genetic control. Parameter changes needed to stabilize cancer risk in three types of cancer were estimated for tissues scaled from mouse size and longevity to human and blue whale levels. The metabolic rate hypothesis alone was rejected due to a conflict between the required interspecific effect with the observed intraspecific effect of size on cancer risk, but some metabolic change was optionally incorporated in the other models. Necessary parameter changes in immune policing and somatic mutation rate far exceeded values observed; however, natural selection increasing the genetic suppression of cancer was generally consistent with data. Such adaptive increases in genetic control of cancers in large and/or long‐lived animals raise the possibility that nonmodel animals will reveal novel anticancer mechanisms.
format Text
author Nunney, Leonard
author_facet Nunney, Leonard
author_sort Nunney, Leonard
title Resolving Peto’s paradox: Modeling the potential effects of size‐related metabolic changes, and of the evolution of immune policing and cancer suppression
title_short Resolving Peto’s paradox: Modeling the potential effects of size‐related metabolic changes, and of the evolution of immune policing and cancer suppression
title_full Resolving Peto’s paradox: Modeling the potential effects of size‐related metabolic changes, and of the evolution of immune policing and cancer suppression
title_fullStr Resolving Peto’s paradox: Modeling the potential effects of size‐related metabolic changes, and of the evolution of immune policing and cancer suppression
title_full_unstemmed Resolving Peto’s paradox: Modeling the potential effects of size‐related metabolic changes, and of the evolution of immune policing and cancer suppression
title_sort resolving peto’s paradox: modeling the potential effects of size‐related metabolic changes, and of the evolution of immune policing and cancer suppression
publisher John Wiley and Sons Inc.
publishDate 2020
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428811/
https://doi.org/10.1111/eva.12993
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op_source Evol Appl
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428811/
http://dx.doi.org/10.1111/eva.12993
op_rights © 2020 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd
This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
op_rightsnorm CC-BY
op_doi https://doi.org/10.1111/eva.12993
container_title Evolutionary Applications
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